An Exhaustive Investigation of Battery Management System (BMS)-Reference-Cited by-同舟云学术

An Exhaustive Investigation of Battery Management System (BMS)

Published:2023-02-22 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)
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Author:

Gunapriya D.¹,Pusphalatha N.¹^ORCID,Sudharsan S.¹,Pandi S.¹,Catherine L.¹,Sharma Vandana²,Alkhayyat Ahmed³

Affiliation:

1. Sri Eshwar College of Engineering,Department of Electrical and Electronics Engineering,Coimbatore,India,641 202

2. Amity Institute of Information Technology,India

3. College of Technical Engineering, The Islamic University,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10117566/10117575/10117824.pdf?arnumber=10117824

Reference17 articles.

1. A method of SOC estimation for power Li-ion batteries based on equivalent circuit model and extended Kalman filter

2. Research on Li-ion Battery Management System

3. SoC Estimation of Lithium Ion Battery Using Combined Coulomb Counting and Fuzzy Logic Method

4. Li-ion cell SOC variance estimation of series connected battery pack using convolution method

5. Online Estimations of Li-Ion Battery SOC and SOH Applicable to Partial Charge/Discharge

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